noun a conclusion reached on the basis of evidence and reasoning
adjective relating to or involving inference; serving to infer or deduce
Inferential reasoning is used to draw conclusions or make inferences about mental processes or behavior.
Inferential statistics involves making predictions or inferences about a population based on sample data.
Inferential analysis is used to make inferences about economic trends or relationships.
Inferential models are used to make predictions or draw conclusions from data.
Inferential methods are used to generalize findings from a sample to a larger population.
In the context of writing, 'inferential' may refer to the use of indirect or implied information to draw conclusions or make connections within a text.
In psychology, 'inferential' typically involves making inferences or predictions based on observed behavior, test results, or other data.
Researchers often use inferential statistics to analyze data and draw conclusions about a population based on a sample.
In data analysis, inferential techniques are used to make predictions or draw conclusions about a larger dataset based on a subset of the data.
Scientists may use inferential reasoning to make hypotheses or predictions about natural phenomena based on observed data and existing knowledge.
In education, teachers may use inferential questioning techniques to help students draw conclusions or make connections based on information presented to them.
In a legal context, inferential reasoning may be used to make logical deductions or draw conclusions based on evidence presented in a case.
In medicine, inferential reasoning may be used to make diagnoses or treatment decisions based on symptoms, test results, and medical history.
Financial analysts may use inferential techniques to make predictions about market trends or investment opportunities based on financial data and economic indicators.